针对光纤布喇格光栅反射谱的特点,研究了强度阈值对五种典型寻峰算法的影响,明确了阈值优化对减小寻峰误差的重要性.对各算法分别进行阈值优化,从寻峰误差和运行效率两个方面对不同采样间隔条件下的寻峰算法进行比较分析.研究表明：各寻峰算法与强度阈值的关系不尽相同,阈值优化可有效减小各算法的寻峰误差,提高光纤布喇格光栅传感系统波长的分辨率和检测准确度;除质心探测法外,增大采样间隔并不能显著提高各算法的运行效率;高斯拟合法寻峰误差最小且最为稳定,适用于静态信号和低频动态信号的解调;质心探测法运行速度最快且误差相对较小,可用于中高频动态信号的解调.

According to the characteristics of the reflection spectrum of Fiber Bragg grating(FBG),the influence of power threshold value upon five kinds of typical peak-detection algorithms was studied,and the importance of threshold optimization for reducing peak-detection errors is clear and definite. The threshold value of each algorithm was optimized,and the five algorithms were compared and analyzed from the error of peak-detection and the operational efficiency by selecting different sampling intervals. Experiments show that the relationship between each peak-detection algorithm and power thresholds are different,select the appropriate power threshold for each peak-detection algorithm can reduce their error effectively,improve the resolution and accuracy of wavelength of FBG sensing system. Except centroid detection algorithm,increasing the sampling interval does not improve the operational efficiency of each algorithm significantly. Gaussian fitting algorithm has the smallest error and the best stability,and is appropriate for the demodulation of static signal and low-frequency dynamic signal. Centroid detection algorithm has the highest operational efficiency and relatively small error,and can be used in the demodulation of intermediate-frequency and high-frequency dynamic signal.